Course Overview
Gain the essential skills to analyze data, reveal trends, and inform critical business decisions.
Unlock the Power of Business Data
Our Data Analytics Bootcamp equips you with the essential skills to collect, clean, analyze, and visualize data to uncover trends and inform strategic decisions. You'll gain proficiency in key tools like Microsoft Excel, SQL databases, and leading visualization platforms such as Tableau or Power BI, alongside foundational data handling with Python or R.
Through hands-on labs, real-world case studies, and a final project, you'll learn to interpret complex datasets, create compelling reports and dashboards, and communicate data-driven findings effectively to stakeholders. Prepare for roles like Data Analyst, Business Intelligence Analyst, Marketing Analyst, Financial Analyst, and more.
- Master Excel & Spreadsheet Techniques
- Query & Manipulate Data with SQL
- Build Interactive Dashboards (Tableau/Power BI)
- Understand Key Business Metrics & KPIs
Launch Your Career in High-Demand Data Analytics Roles
Equip yourself with practical, in-demand skills for lucrative data-focused positions. Drive business growth through intelligent data analysis.
Data Analyst
Business Intelligence Analyst
Reporting Specialist
BI Tools Developer
SQL Data Specialist
Marketing / Sales Analyst
Data Analytics Roadmap
Foundations: Spreadsheets & Core Concepts
Master Excel, Google Sheets, data types, and basic analytics principles.
Data Handling: SQL & Basic Programming
Extract, transform data using SQL. Intro to Python/R for data tasks (Pandas).
Data Cleaning & Preparation
Handle missing values, duplicates, outliers, format data for analysis using Excel/SQL/Python.
Exploratory Data Analysis & Statistics
Summarize, visualize, and understand data distributions. Descriptive statistics & basic probability.
Data Visualization & Dashboarding
Create impactful charts, reports, and interactive dashboards using Tableau or Power BI.
Actionable Insights & Reporting
Analyze business problems, define KPIs, communicate findings, project capstone.
Full Curriculum Breakdown
Explore the detailed topics covered week by week in our comprehensive analytics bootcamp.
- What is Data Analytics? Roles & Career Paths
- Data Analytics Process & Frameworks
- Introduction to Microsoft Excel & Google Sheets
- Working with Cells, Rows, Columns, and Sheets
- Basic Formulas & Functions (SUM, AVERAGE, COUNT, MAX, MIN)
- Data Types and Formatting
- Sorting and Filtering Data
- Conditional Formatting
- Data Validation
- Introduction to PivotTables and PivotCharts
- Introduction to Relational Databases & SQL
- Basic SELECT statements
- Filtering Data with WHERE (Operators, AND, OR, NOT)
- Sorting Results with ORDER BY
- Limiting Results (LIMIT, TOP)
- Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
- Grouping Data with GROUP BY & Filtering Groups with HAVING
- JOINs (INNER, LEFT, RIGHT, FULL OUTER)
- UNION, UNION ALL
- Subqueries & Common Table Expressions (CTEs)
- Window Functions (Basics)
- Sources of Data & Data Acquisition
- Introduction to Data Cleaning Process
- Handling Missing Values
- Identifying and Removing Duplicates
- Dealing with Outliers (Basic methods)
- Data Type Conversion & Consistency
- Text Data Manipulation (Excel functions, SQL string functions)
- Date & Time Data Handling
- Reshaping Data (Pivot/Unpivot concepts)
- Introduction to Pandas (if using Python) or dplyr (if using R) for data manipulation
- Goals of EDA
- Summarizing Data (Descriptive Statistics)
- Measures of Central Tendency (Mean, Median, Mode)
- Measures of Dispersion (Range, Variance, Standard Deviation, IQR)
- Understanding Data Distribution (Histograms, Skewness, Kurtosis)
- Correlation and Covariance
- Sampling and Basic Probability Concepts
- Hypothesis Testing Basics (t-tests, Chi-Squared - conceptual)
- Introduction to A/B Testing (Analysis and Interpretation)
- Using Excel's Data Analysis ToolPak or Python/R libraries for basic stats
- Principles of Effective Data Visualization
- Choosing the Right Chart Type (Bar, Line, Pie, Scatter, etc.)
- Introduction to Tableau or Power BI
- Connecting to Data Sources (Excel, CSV, SQL)
- Creating Basic Charts & Graphs
- Using Filters & Parameters
- Calculated Fields & Table Calculations
- Building Interactive Dashboards
- Creating Reports and Presentations
- Storytelling with Data
- Defining Business Problems & Analytical Questions
- Identifying Key Performance Indicators (KPIs)
- Cohort Analysis (Basics)
- Customer Segmentation (Basics)
- Introduction to Basic Forecasting Techniques (e.g., moving averages)
- Communicating Analytical Findings Effectively
- Project Planning & Execution
- Data Analytics Capstone Project (End-to-End Analysis)
- Career Pathways & Portfolio Building for Data Analysts
Flexible Learning Options
Choose the format that best fits your lifestyle and career goals.
Full-time Intensive
Accelerate your career transition with our immersive, weekday program. Fast-paced and project-heavy.
- Duration: 11 Weeks
- Schedule: Flexible Timings
- Commitment: High
- Ideal For: Career changers, undergraduates, graduates and high-schoolers
Part-time Flex
Balance your current job or studies with evening and weekend sessions. Flexible and comprehensive.
- Duration: 18 Weeks
- Schedule: Evenings & Weekends
- Commitment: Medium
- Ideal For: Working professionals, students
Self-paced Online
Learn at your own rhythm with pre-recorded lectures, assignments, and mentor support.
- Duration: Up to 6 Months
- Schedule: On-Demand
- Commitment: Self-driven
- Ideal For: Learners needing maximum flexibility
Key Course Features
What makes our Data Analytics program your best choice?
Practical, Hands-On Labs
Gain practical experience applying concepts in Excel, SQL, and BI tools with real-world datasets and case studies.
Focus on Business Insights & KPIs
Learn to identify, measure, and report key business metrics to drive data-informed strategies.
Industry-Aligned Tools
Master the most relevant tools in the industry: Excel, SQL, Tableau/Power BI, and foundational Python/R for analysis.
Career Readiness & Portfolio
Build a strong portfolio with real projects and get guidance for landing a Data Analyst role.
Engaging Learning Community
Collaborate with peers and instructors in a supportive environment designed for your success.
Relevant & Updated Content
Stay current with a curriculum regularly refreshed to match the latest trends and demands in Data Analytics.
Your Data Analytics Career Starts Here
Step into a field with immense growth potential and become indispensable to businesses.
In-Demand Job Opportunities
Data Analysts are crucial across all sectors. Graduates are hired in roles like BI Analyst, Reporting Specialist, Marketing Analyst, etc., driving insights.
Attractive Salary Potential
Possessing strong data analysis skills leads to competitive salaries and significant career advancement opportunities across industries.
Boost Your Professional Profile
A formal certification and hands-on projects validate your practical skills, making you a highly attractive candidate for data-centric roles.
Master Essential Business Skills
Beyond tools, learn the critical thinking to translate data into strategies, a top skill valued by employers today.
Competitive Average Salary
While figures vary by market and experience, Data Analysts typically earn strong salaries, reflecting the demand for their ability to provide business insights.
(Specific figures depend on region/experience)
Why Choose CodeParallels?
We're dedicated to building practical, job-ready analytics professionals.
Fast-Track Your Analytics Role
Our program quickly equips you with the core skills demanded for entry-level to mid-level Data Analytics positions.
Real-World Business Projects
Work on projects simulating real analytical tasks, building a portfolio that proves your ability to solve business problems.
Expert Guidance
Learn from experienced analysts who can provide insights into industry best practices and career navigation.
Comprehensive Skillset
Cover essential tools and techniques from data cleaning and SQL querying to visualization and reporting.
Ready to Start Your Data Analytics Journey?
Book a FREE session with our course counselor. Get personalized guidance, clarify your doubts, and plan your learning path.
Book Your Free SessionData Analytics Course FAQs
Find answers to common questions about this bootcamp.
This bootcamp is ideal for individuals aiming for roles focused on data interpretation, reporting, and business insights. This includes fresh graduates, professionals from any background looking to gain data skills, business professionals needing to leverage data, and anyone aspiring to become a Data Analyst or BI Analyst.
No prior experience in programming or advanced statistics is strictly necessary. A basic understanding of spreadsheets (like Excel) and comfort with computers is helpful. We will cover foundational concepts needed for data handling and analysis.
You will gain proficiency in essential industry tools including Microsoft Excel, SQL for database querying, and leading data visualization platforms like Tableau or Power BI. We also include an introduction to using Python or R for basic data analysis tasks.
Yes, upon successful completion of all course modules, assignments, and the capstone project, you will receive a Certificate of Completion in Data Analytics from CodeParallels.
The demand for skilled Data Analysts is consistently high across almost all industries. Companies rely on analysts to make sense of their data, find efficiencies, and identify opportunities, making this a very stable and growing career field.